Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
36th (2022)
Session ID : 2L1-GS-2-04
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Detection and fix of factual inconsistency contained in neural generated sentences
*Keita MORIWAKIShun OONOHiroaki SUGIYAMAMasaki SHUZOEisaku MAEDA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

To constrain the factual inconsistency in neural generated sentences, we tried to postfix the inconsistent sentences. Detection/modification models were trained by pseudo dataset which were rewritten from original dataset for the neural sentence generator. Our experimental results show sequential process of detection and modification of inconsistence was effective while single process of modification tended to change some consistent sentences. For some remaining inconsistent sentences, other training datasets for detection and modification models to work complementarily will improve the postfix performance.

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© 2022 The Japanese Society for Artificial Intelligence
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